计算机与数字工程2011,Vol.39Issue(1):17-20,4.
基于RBF神经网络的智能PID控制算法
Intelligent PID Control Based on RBF Neural Network
曾琳 1张文涛2
作者信息
- 1. 浙江农林大学,临安,311300
- 2. 浙江外国语学院,杭州,310012
- 折叠
摘要
Abstract
Presents an intelligent controller against the phenomenon of time delay in industry. Smith predictor will be introduced into the conventional PID controller, in order to give compensation for the characteristics which produced by the time delay parameter τ, while use of RBF neural network to adjusts the PID parameters on line, to a certain extent, enhance the system's robustness and stability. The experiment has shown that use this intelligent controller can get satisfactory control performance.关键词
RBF神经网络/PID控制器/参数自整定分类
计算机与自动化引用本文复制引用
曾琳,张文涛..基于RBF神经网络的智能PID控制算法[J].计算机与数字工程,2011,39(1):17-20,4.